Raf Van de Plas

4.3k total citations
48 papers, 2.3k citations indexed

About

Raf Van de Plas is a scholar working on Spectroscopy, Molecular Biology and Biophysics. According to data from OpenAlex, Raf Van de Plas has authored 48 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Spectroscopy, 29 papers in Molecular Biology and 8 papers in Biophysics. Recurrent topics in Raf Van de Plas's work include Mass Spectrometry Techniques and Applications (31 papers), Metabolomics and Mass Spectrometry Studies (25 papers) and Advanced Proteomics Techniques and Applications (9 papers). Raf Van de Plas is often cited by papers focused on Mass Spectrometry Techniques and Applications (31 papers), Metabolomics and Mass Spectrometry Studies (25 papers) and Advanced Proteomics Techniques and Applications (9 papers). Raf Van de Plas collaborates with scholars based in United States, Netherlands and Belgium. Raf Van de Plas's co-authors include Richard M. Caprioli, Jeffrey M. Spraggins, Nico Verbeeck, Bart De Moor, Etienne Waelkens, Johan A. K. Suykens, Junhai Yang, Lukasz G. Migas, Fabian Ojeda and Elizabeth K. Neumann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Raf Van de Plas

45 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raf Van de Plas United States 22 1.2k 980 233 218 178 48 2.3k
Michael Becker Germany 25 2.2k 1.9× 1.1k 1.1× 147 0.6× 153 0.7× 139 0.8× 49 3.4k
Ali M. Ardekani Iran 21 2.5k 2.2× 1.3k 1.4× 63 0.3× 68 0.3× 165 0.9× 64 4.0k
Igor Popov Russia 29 890 0.8× 951 1.0× 73 0.3× 23 0.1× 302 1.7× 180 2.5k
Benjamin Balluff Netherlands 33 2.2k 1.9× 2.1k 2.2× 295 1.3× 210 1.0× 154 0.9× 78 3.4k
Si Wu United States 33 1.9k 1.6× 1.6k 1.6× 76 0.3× 36 0.2× 365 2.1× 145 3.7k
Bobbie‐Jo Webb‐Robertson United States 32 2.2k 1.8× 1000 1.0× 20 0.1× 62 0.3× 316 1.8× 138 3.9k
Samuel Payne United States 34 2.7k 2.3× 1.6k 1.6× 36 0.2× 44 0.2× 240 1.3× 108 4.0k
Dong Li China 28 2.0k 1.7× 217 0.2× 28 0.1× 32 0.1× 135 0.8× 124 3.3k
Richard D. LeDuc United States 31 1.9k 1.6× 1.8k 1.8× 116 0.5× 12 0.1× 164 0.9× 64 3.1k
Mats Rudemo Sweden 29 726 0.6× 124 0.1× 54 0.2× 166 0.8× 165 0.9× 84 3.2k

Countries citing papers authored by Raf Van de Plas

Since Specialization
Citations

This map shows the geographic impact of Raf Van de Plas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Raf Van de Plas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raf Van de Plas more than expected).

Fields of papers citing papers by Raf Van de Plas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raf Van de Plas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Raf Van de Plas. The network helps show where Raf Van de Plas may publish in the future.

Co-authorship network of co-authors of Raf Van de Plas

This figure shows the co-authorship network connecting the top 25 collaborators of Raf Van de Plas. A scholar is included among the top collaborators of Raf Van de Plas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raf Van de Plas. Raf Van de Plas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Migas, Lukasz G., et al.. (2025). Preserving full spectrum information in imaging mass spectrometry data reduction. Bioinformatics. 41(5).
2.
Wahls, Sander, et al.. (2025). Signal Recovery Using a Spiked Mixture Model. IEEE Transactions on Signal Processing. 73. 3748–3761.
3.
Dufresne, Martin, Lukasz G. Migas, Katerina Djambazova, et al.. (2025). Aminated cinnamic acid analogs as dual polarity matrices for high spatial resolution MALDI imaging mass spectrometry. Analytica Chimica Acta. 1371. 344423–344423. 3 indexed citations
4.
Moser, Felipe, Lukasz G. Migas, Katerina Djambazova, et al.. (2024). In situ molecular profiles of glomerular cells by integrated imaging mass spectrometry and multiplexed immunofluorescence microscopy. Kidney International. 107(2). 332–337. 5 indexed citations
5.
Rivera, Emilio, Andy Weiss, Lukasz G. Migas, et al.. (2022). Imaging mass spectrometry reveals complex lipid distributions across Staphylococcus aureus biofilm layers. SHILAP Revista de lepidopterología. 26. 36–46. 21 indexed citations
6.
Perry, William, Caroline M. Grunenwald, Raf Van de Plas, et al.. (2022). Visualizing Staphylococcus aureus pathogenic membrane modification within the host infection environment by multimodal imaging mass spectrometry. Cell chemical biology. 29(7). 1209–1217.e4. 11 indexed citations
7.
Neumann, Elizabeth K., Nathan Heath Patterson, Jamie Allen, et al.. (2021). Protocol for multimodal analysis of human kidney tissue by imaging mass spectrometry and CODEX multiplexed immunofluorescence. STAR Protocols. 2(3). 100747–100747. 18 indexed citations
8.
Cho, Sung Hoon, Nathan Heath Patterson, Raf Van de Plas, et al.. (2020). Discovering New Lipidomic Features Using Cell Type Specific Fluorophore Expression to Provide Spatial and Biological Specificity in a Multimodal Workflow with MALDI Imaging Mass Spectrometry. Analytical Chemistry. 92(10). 7079–7086. 27 indexed citations
9.
Perry, William, Andy Weiss, Raf Van de Plas, et al.. (2020). Integrated molecular imaging technologies for investigation of metals in biological systems: A brief review. Current Opinion in Chemical Biology. 55. 127–135. 18 indexed citations
10.
Cassat, James E., Jessica L. Moore, Kevin J. Wilson, et al.. (2018). Integrated molecular imaging reveals tissue heterogeneity driving host-pathogen interactions. Science Translational Medicine. 10(432). 57 indexed citations
11.
Patterson, Nathan Heath, Michael Tuck, Adam Lewis, et al.. (2018). Next Generation Histology-Directed Imaging Mass Spectrometry Driven by Autofluorescence Microscopy. Analytical Chemistry. 90(21). 12404–12413. 49 indexed citations
12.
Verbeeck, Nico, Jeffrey M. Spraggins, Huidong Wang, et al.. (2017). Connecting imaging mass spectrometry and magnetic resonance imaging-based anatomical atlases for automated anatomical interpretation and differential analysis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(7). 967–977. 43 indexed citations
13.
Anderson, David M., Raf Van de Plas, Kristie L. Rose, et al.. (2016). 3-D imaging mass spectrometry of protein distributions in mouse Neurofibromatosis 1 (NF1)-associated optic glioma. Journal of Proteomics. 149. 77–84. 18 indexed citations
14.
Plas, Raf Van de, Junhai Yang, Jeffrey M. Spraggins, & Richard M. Caprioli. (2015). Image fusion of mass spectrometry and microscopy: a multimodality paradigm for molecular tissue mapping. Nature Methods. 12(4). 366–372. 220 indexed citations
15.
Fassbender, Amelie, Etienne Waelkens, Nico Verbeeck, et al.. (2012). Proteomics Analysis of Plasma for Early Diagnosis of Endometriosis. Obstetrics and Gynecology. 119(2, Part 1). 276–285. 32 indexed citations
16.
Fassbender, Amelie, Nico Verbeeck, Daniela Börnigen, et al.. (2012). Combined mRNA microarray and proteomic analysis of eutopic endometrium of women with and without endometriosis. Human Reproduction. 27(7). 2020–2029. 54 indexed citations
17.
Luts, Jan, Fabian Ojeda, Raf Van de Plas, et al.. (2010). A tutorial on support vector machine-based methods for classification problems in chemometrics. Analytica Chimica Acta. 665(2). 129–145. 242 indexed citations
18.
Kyama, Cleophas, Attila Mihalyi, Olivier Gevaert, et al.. (2010). Evaluation of endometrial biomarkers for semi-invasive diagnosis of endometriosis. Fertility and Sterility. 95(4). 1338–1343.e3. 30 indexed citations
19.
Plas, Raf Van de, Bart De Moor, & Etienne Waelkens. (2007). Imaging mass spectrometry based exploration of biochemical tissue composition using peak intensity weighted PCA. 209–212. 15 indexed citations
20.
Plas, Raf Van de, Kristiaan Pelckmans, Bart De Moor, & Etienne Waelkens. (2007). Spatial Querying of Imaging Mass Spectrometry Data: A Nonnegative Least Squares Approach. Neural Information Processing Systems. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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